Statistical ensembles of virialized halo matter density profiles

J. Carron, I. Szapudi

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We define and study statistical ensembles of matter density profiles describing spherically symmetric, virialized dark matter haloes of finite extent with a given mass and total gravitational potential energy. Our ensembles include spatial degrees of freedom only, a microstate being a spherically symmetric matter density function. We provide an exact solution for the grand canonical partition functional, and show its equivalence to that of the microcanonical ensemble. We obtain analytically the mean profiles that correspond to an overwhelming majority of microstates. All such profiles have an infinitely deep potential well, with the singular isothermal sphere arising in the infinite temperature limit. Systems with virial radius larger than gravitational radius exhibit a localization of a finite fraction of the energy in the very centre. The universal logarithmic inner slope of unity of the Navarro-Frenk-White (NFW) haloes is predicted at any mass and energy if an upper bound is set to the maximal depth of the potential well. In this case, the statistically favoured mean profiles compare well to the NFW profiles. For very massive haloes the agreement becomes exact.

Original languageEnglish
Pages (from-to)3161-3167
Number of pages7
JournalMonthly Notices of the Royal Astronomical Society
Volume432
Issue number4
DOIs
Publication statusPublished - Oct 2013

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halos
profiles
potential energy
energy
radii
temperature
gravitational fields
equivalence
unity
partitions
dark matter
degrees of freedom
slopes
freedom

Keywords

  • Gravitation-galaxies
  • Haloes-dark matter

ASJC Scopus subject areas

  • Space and Planetary Science
  • Astronomy and Astrophysics

Cite this

Statistical ensembles of virialized halo matter density profiles. / Carron, J.; Szapudi, I.

In: Monthly Notices of the Royal Astronomical Society, Vol. 432, No. 4, 10.2013, p. 3161-3167.

Research output: Contribution to journalArticle

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